Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Hernando, Carlos; HERNANDO, CARLA; Collado-Boira, Eladio; Panizo, Nayara; MARTINEZ-NAVARRO, IGNACIO; Hernando, Barbara
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/174799
comunitat-uji-handle3:10234/174800
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathonersAutoría
Fecha de publicación
2018-08Editor
PlosCita bibliográfica
Hernando C, Hernando C, Collado EJ, Panizo N, Martinez-Navarro I, Hernando B (2018) Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners. PLoS ONE 13(8): e0202815Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202815Versión
info:eu-repo/semantics/publishedVersionResumen
The purpose of this study was to establish GENEA (Gravity Estimator of Normal Everyday Activity) cut-points for discriminating between six relative-intensity activity levels in middle-aged recreational marathoners. ... [+]
The purpose of this study was to establish GENEA (Gravity Estimator of Normal Everyday Activity) cut-points for discriminating between six relative-intensity activity levels in middle-aged recreational marathoners. Nighty-eight (83 males and 15 females) recreational marathoners, aged 30–45 years, completed a cardiopulmonary exercise test running on a treadmill while wearing a GENEA accelerometer on their non-dominant wrist. The breath-by-breath V̇O2 data was also collected for criterion measure of physical activity categories (sedentary, light, moderate, vigorous, very vigorous and extremely vigorous). GENEA cut-points for physical activity classification was performed via Receiver Operating Characteristic (ROC) analysis. Spearman’s correlation test was applied to determine the relationship between estimated and measured intensity classifications. Statistical analysis were done for all individuals, and separating samples by sex. The GENEA cut-points established were able to distinguish between all six-relative intensity levels with an excellent classification accuracy (area under the ROC curve (AUC) values between 0.886 and 0.973) for all samples. When samples were separated by sex, AUC values were 0.881–0.973 and 0.924–0.968 for males and females, respectively. The total variance in energy expenditure explained by GENEA accelerometer data was 78.50% for all samples, 78.14% for males, and 83.17% for females. In conclusion, the wrist-worn GENEA accelerometer presents a high capacity of classifying the intensity of physical activity in middle-aged recreational marathoners when examining all samples together, as well as when sample set was separated by sex. This study suggests that the triaxial GENEA accelerometers (worn on the non-dominant wrist) can be used to predict energy expenditure for running activities. [-]
Derechos de acceso
© 2018 Hernando et al.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- INF_Articles [288]
- EDE_Articles [422]
El ítem tiene asociados los siguientes ficheros de licencia: